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(5,546)
- Faculty Publications (1,087)
- 2023
- Working Paper
Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data
By: AJ Chen, Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman
To mitigate information asymmetry about borrowers in developing economies, digital lenders utilize machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of... View Details
Keywords: Borrowing and Debt; Credit; AI and Machine Learning; Welfare; Well-being; Developing Countries and Economies; Equality and Inequality
Chen, AJ, Omri Even-Tov, Jung Koo Kang, and Regina Wittenberg-Moerman. "Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data." Harvard Business School Working Paper, No. 23-076, April 2023. (Revised November 2023. SSRN Working Paper Series, November 2023)
- 2023
- Working Paper
Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs
By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
Keywords: STEM; Selection and Staffing; Gender; Prejudice and Bias; Training; Equality and Inequality; Competency and Skills
Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Harvard Business School Working Paper, No. 23-066, April 2023. (Accepted by Organization Science.)
- May 2023
- Article
Do Internal Control Weaknesses Affect Firms' Demand for Financial Skills? Evidence from U.S. Job Postings
By: Janet Gao, Kenneth J. Merkley, Joseph Pacelli and Joseph H. Schroeder
Ineffective internal controls over financial reporting often relates to a lack of qualified personnel with sufficient accounting and technical expertise. In this study, we examine whether firms respond to internal control failures by increasing their demand for... View Details
Keywords: Internal Controls; Labor Demand; Accounting; Financial Reporting; Experience and Expertise; Recruitment; Competency and Skills; Corporate Finance
Gao, Janet, Kenneth J. Merkley, Joseph Pacelli, and Joseph H. Schroeder. "Do Internal Control Weaknesses Affect Firms' Demand for Financial Skills? Evidence from U.S. Job Postings." Accounting Review 98, no. 3 (May 2023): 203–228.
- May 2023
- Article
Where Sales Technology (Really) Helps
Interest in Sales Enablement (SE), the catch-all term for attempts to increase sales productivity with AI and other technologies, is driven by multiple factors. One is the declining costs of the tools. Also, selling is now data-hungry work and not just in tech sectors.... View Details
- April 18, 2023
- Article
The Rebirth of Software as a Service
By: Frank V. Cespedes and Jacco van der Kooij
Traditional sales models focus on customer acquisition and the “funnel” or “pipeline” metrics that dominate talk about sales. But this approach falls short when applied to a recurring revenue business, where the customer life cycle looks more like a bowtie, not a... View Details
Cespedes, Frank V., and Jacco van der Kooij. "The Rebirth of Software as a Service." Harvard Business Review (website) (April 18, 2023).
- April 2023 (Revised February 2024)
- Case
AI Wars
By: Andy Wu, Matt Higgins, Miaomiao Zhang and Hang Jiang
In February 2024, the world was looking to Google to see what the search giant and long-time putative technical leader in artificial intelligence (AI) would do to compete in the massively hyped technology of generative AI. Over a year ago, OpenAI released ChatGPT, a... View Details
Keywords: AI; Artificial Intelligence; AI and Machine Learning; Technology Adoption; Competitive Strategy; Technological Innovation
Wu, Andy, Matt Higgins, Miaomiao Zhang, and Hang Jiang. "AI Wars." Harvard Business School Case 723-434, April 2023. (Revised February 2024.)
- April 2023 (Revised September 2023)
- Case
Levels: The Remote, Asynchronous, Deep Work Management System
By: Joseph B. Fuller and George Gonzalez
Levels is a highly innovative startup in the health care space. They intend to revolutionize health by linking behavior—eating, exercise, sleeping, etc.—to changes in metabolism. They believe metabolic health can be managed through careful monitoring of changes in... View Details
Keywords: Applications and Software; Business Startups; Organizational Culture; Management Style; Technology Industry; United States
Fuller, Joseph B., and George Gonzalez. "Levels: The Remote, Asynchronous, Deep Work Management System." Harvard Business School Case 323-069, April 2023. (Revised September 2023.)
- 2023
- Working Paper
Applications or Approvals: What Drives Racial Disparities in the Paycheck Protection Program?
By: Sergey Chernenko, Nathan Kaplan, Asani Sarkar and David S. Scharfstein
We use the 2020 Small Business Credit Survey to study the sources of racial disparities in use of the Paycheck Protection Program (PPP). Black-owned firms are 8.9 percentage points less likely than observably similar white-owned firms to receive PPP loans. About 55% of... View Details
Chernenko, Sergey, Nathan Kaplan, Asani Sarkar, and David S. Scharfstein. "Applications or Approvals: What Drives Racial Disparities in the Paycheck Protection Program?" NBER Working Paper Series, No. 31172, April 2023.
- 2023
- Working Paper
The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities
By: David S. Scharfstein and Sergey Chernenko
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result
Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
- March 2023
- Teaching Note
VideaHealth: Building the AI Factory
By: Karim R. Lakhani
Teaching Note for HBS Case No. 621-021. The case “VideaHealth: Building the AI Factory” examines the creation of dental startup VideaHealth (Videa) and the development of its artificial intelligence (AI)-led business strategy through the eyes of founder and CEO Florian... View Details
- March 2023 (Revised June 2023)
- Case
Layoffs in the Tech Industry: 2022–2023
By: Sandra J. Sucher and Marilyn Morgan Westner
This case examines the mass layoffs that swept through the tech industry (2022-2023) through the lens of four companies: Twitter, Stripe, Meta, and Google. How these companies implemented workforce change through mass layoffs raises critical questions applicable beyond... View Details
Keywords: Layoffs; Human Resource Management; Workforce Reductions; Ethics; Human Resources; Management; Values and Beliefs; Employee Relationship Management; Resignation and Termination; Compensation and Benefits; Technology Industry; United States; United Kingdom
Sucher, Sandra J., and Marilyn Morgan Westner. "Layoffs in the Tech Industry: 2022–2023." Harvard Business School Case 323-095, March 2023. (Revised June 2023.)
- 2023
- Chapter
Marketing Through the Machine’s Eyes: Image Analytics and Interpretability
By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, 217–238. Review of Marketing Research. Emerald Publishing Limited, 2023.
- March 2023
- Case
Woven Planet - Designing Software for the Car of the Future
By: Gary P. Pisano and Catherine Piner
Founded in 2021, Woven Planet Holdings—a subsidiary of Toyota Motor Corporation—was developing Arene, an automotive software platform consisting of an operating system, development and simulation tools, and a cloud-based service that could store and analyze vehicle... View Details
Keywords: Technology; Automated Driving; Innovation; Organizational Culture; Applications and Software; Safety; Product Launch; Product; Auto Industry; Technology Industry
Pisano, Gary P., and Catherine Piner. "Woven Planet - Designing Software for the Car of the Future." Harvard Business School Case 623-064, March 2023.
- March 8, 2023
- Article
How to Help Superstar Employees Fulfill Their Potential
By: Anthony J. Mayo
To better understand the leadership challenges and development opportunities facing high-potential employees, researchers analyzed more than 3,000 applications to Harvard Business School’s High Potentials Leadership Program over a nearly 20-year period. The... View Details
Keywords: Personal Characteristics; Leadership Development; Personal Development and Career; Management Skills; Business Education
Mayo, Anthony J. "How to Help Superstar Employees Fulfill Their Potential." Harvard Business Review Digital Articles (March 8, 2023).
- February 2023
- Case
Enstitute
By: Lindsay N. Hyde, Thomas R. Eisenmann, Kumba Sennaar and Sarah Mehta
Shaila Ittycheria (MBA ’10) founded the nonprofit organization Enstitute, in 2012 in New York City. Determined to challenge the status quo within higher education, Shaila and her cofounder sought to expand opportunities for talented young people by placing them in... View Details
Keywords: Social Entrepreneurship; Operations; Business Startups; Business Growth and Maturation; Education Industry; Employment Industry; United States
Hyde, Lindsay N., Thomas R. Eisenmann, Kumba Sennaar, and Sarah Mehta. "Enstitute." Harvard Business School Case 823-008, February 2023.
- February 2023
- Case
Nexus Market (A): Ukraine War Ripples into Silicon Valley
By: Tsedal Neeley and Jeff Huizinga
A Silicon Valley start-up executive must navigate tensions between its Ukrainian and Russian sub-contractors as war between the two countries rages. After war erupts between Ukraine and Russia, a team of subcontracted Ukrainian software developers threatens to cut ties... View Details
Keywords: International Relations; Problems and Challenges; Conflict and Resolution; Technology Industry; United States
Neeley, Tsedal, and Jeff Huizinga. "Nexus Market (A): Ukraine War Ripples into Silicon Valley." Harvard Business School Case 423-024, February 2023.
- February 2023 (Revised March 2023)
- Case
Hey, Insta & YouTube, Are You Watching TikTok?
In early 2023, the entertainment app TikTok reached close to 1 billion users globally, placing it 4th behind the leading social networks of Facebook, YouTube, and Instagram. Featuring a sophisticated recommendation engine, TikTok mastered the art of keeping users... View Details
Keywords: Social Media; Applications and Software; Business Model; Competition; Organizational Change and Adaptation
Oberholzer-Gee, Felix. "Hey, Insta & YouTube, Are You Watching TikTok?" Harvard Business School Case 723-426, February 2023. (Revised March 2023.)
- 2023
- Working Paper
Distributionally Robust Causal Inference with Observational Data
By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
- January–February 2023
- Article
Forecasting COVID-19 and Analyzing the Effect of Government Interventions
By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details
Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction
Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
- January 2023 (Revised December 2023)
- Case
OhmConnect: Energizing the Future
By: Jeffrey F. Rayport, Jennifer Fonstad and Nicole Tempest Keller
Founded in 2013, OhmConnect was a free consumer web app that alerted customers about peak hours of electricity demand, and paid them to lower their energy use at home during these periods. The company sold the aggregated reductions generated by thousands of households... View Details
Keywords: App Development; Renewable Energy; Electricity Usage; Regulations; VC; Technology; Customer Acquisition Cost (CAC); Scalability; Applications and Software; Growth and Development Strategy; Governing Rules, Regulations, and Reforms; Business Model; Venture Capital; Energy Industry; United States; California; Texas; Europe
Rayport, Jeffrey F., Jennifer Fonstad, and Nicole Tempest Keller. "OhmConnect: Energizing the Future." Harvard Business School Case 823-065, January 2023. (Revised December 2023.)